Academic Journal

Mathematical analysis for spatial distribution of vessels, mast cells and adipocytes in superficial fascia.

Bibliographic Details
Title: Mathematical analysis for spatial distribution of vessels, mast cells and adipocytes in superficial fascia.
Authors: Yingyue Dong, Dandan Zhang, Yingri Cao, Yanfei Zhang, Xiaozhe Sun, Tongsheng Chen, Yuanyuan Zhang, Guoheng Xu
Source: Frontiers in Physiology; 11/14/2022, Vol. 13, p1-13, 13p
Subject Terms: Mast cells, Fat cells, Mathematical analysis, Connective tissues, Blood vessels
Abstract: As a novel origin of adipocytes, the superficial fascia, a typical soft connective tissue, has abundant adipocytes and preadipocytes, accompanied by numerous mast cells. Blood vessels pass through the fascia to form a network structure. The more reasonable statistical analysis methods can provide a new method for in-depth study of soft connective tissue by clarifying the spatial distribution relation between cells (point structure) and blood vessels (linear structure). This study adopted the Guidolin et al. statistical analysis methods used by epidemiology and ecology to quantitatively analyze the distribution pattern and correlations among blood vessels, adipocytes, and mast cells. Imageprocessing software and self-written computer programs were used to analyze images of whole-mounted fascia, and the relevant data were measured automatically. Voronoi's analysis revealed that the vascular network was non-uniformly distributed. In fascia with average area of 3.75 cm², quantitative histological analysis revealed 81.16% of mast cells and 74.74% of adipocytes distributed within 60 µm of blood vessels. A Spearman's correlation coefficient (rs) of >0.7 showed the co-distribution of the two types of cells under different areas. Ridge regression analysis further revealed the spatial correlation among blood vessels, adipocytes and mast cells. The combination of classical epidemiological analysis and extended computer program analysis can better analyze the spatial distribution relation between cells and vessels and should provide an effective analysis method for study of the histology and morphology of fascia and related connective tissues. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
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